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The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
An original implementation of the paper "CREPE: Open-Domain Question Answering with False Presuppositions"
The prime repository for state-of-the-art Multilingual Question Answering research and development.
An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
Library for 8-bit optimizers and quantization routines.
Code for paper "CrossFit 🏋️: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
FaVIQ: Fact Verification from Information-seeking Questions
ACL2020 Tutorial: Open-Domain Question Answering
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
A dataset of atomic wikipedia edits containing insertions and deletions of a contiguous chunk of text in a sentence. This dataset contains ~43 million edits across 8 languages.
Rich is a Python library for rich text and beautiful formatting in the terminal.
A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.
Data and software for building the ACL Anthology.
A library for efficient similarity search and clustering of dense vectors.
A simple, ugly, desktop-only web app for meal prepping to count calories.
Span-based system for named entity, relation, and event extraction.
📃 Set the correct (tab) titles for your arXiv papers containing tabs.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Sparse learning library and sparse momentum resources.
Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"